/**
 * Copyright 2022 Huawei Technologies Co., Ltd
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
#ifndef MINDSPORE_CCSRC_BACKEND_KERNEL_COMPILER_CPU_SPARSE_CONCAT_CPU_KERNEL_H_
#define MINDSPORE_CCSRC_BACKEND_KERNEL_COMPILER_CPU_SPARSE_CONCAT_CPU_KERNEL_H_

#include <vector>
#include <map>
#include <utility>
#include "kernel/cpu/cpu_kernel.h"
#include "include/runtime/hardware_abstract/kernel_base/ms_factory.h"

namespace mindspore {
namespace kernel {
namespace sparse_concat_cpu {
class SparseConcatCpuKernelMod : public NativeCpuKernelMod {
 public:
  SparseConcatCpuKernelMod() = default;
  ~SparseConcatCpuKernelMod() override = default;

  bool Init(const std::vector<KernelTensor *> &inputs, const std::vector<KernelTensor *> &outputs) override;

  bool Launch(const std::vector<KernelTensor *> &inputs, const std::vector<KernelTensor *> &workspace,
              const std::vector<KernelTensor *> &outputs) override;

 protected:
  std::vector<KernelAttr> GetOpSupport() override {
    static std::vector<KernelAttr> support_list = {KernelAttr().AddSkipCheckAttr(true)};
    return support_list;
  }

 private:
  template <typename S, typename T>
  bool SparseConcat(const std::vector<kernel::KernelTensor *> &inputs, const std::vector<KernelTensor *> &,
                    const std::vector<kernel::KernelTensor *> &outputs, const size_t shape_size, const int size);
  template <typename S, typename T>
  bool LaunchKernel(const std::vector<kernel::KernelTensor *> &inputs, const std::vector<KernelTensor *> &,
                    const std::vector<kernel::KernelTensor *> &outputs);
  template <typename S>
  bool LaunchFunc(const std::vector<kernel::KernelTensor *> &inputs, const std::vector<KernelTensor *> &,
                  const std::vector<kernel::KernelTensor *> &outputs);
  int64_t concat_dim_;
  size_t input_num_;
  TypeId values_dtype_{kTypeUnknown};
  TypeId shapes_dtype_{kTypeUnknown};
};
}  // namespace sparse_concat_cpu
}  // namespace kernel
}  // namespace mindspore

#endif  // MINDSPORE_CCSRC_BACKEND_KERNEL_COMPILER_CPU_SPARSE_CONCAT_CPU_KERNEL_H_
